Jobs at Microsoft

Leads the design, deployment, and operation of security capabilities across cloud, network, identity, infrastructure, and AI environments. Builds monitoring, telemetry, detections, automation, security services, APIs, and data pipelines; investigates complex security events; performs threat modeling and security reviews; and applies AI and machine learning to improve threat detection, hunting, response, and protection of critical systems.

Build and scale compute infrastructure for AI workloads across large GPU clusters. Responsibilities include cluster orchestration, workload scheduling, resource allocation, quota management, topology-aware placement, runtime initialization, fault recovery, observability, and utilization optimization. The role partners with researchers and model-development teams to deliver reliable infrastructure for distributed training and inference.

Software Engineering Interns collaborate with engineering, product, and program teams to design, develop, test, and improve software solutions. Responsibilities include gathering requirements, solving complex problems, learning new technologies, applying best practices, and improving product reliability, observability, efficiency, and performance. Candidates must be pursuing a relevant bachelor's or master's degree, have at least one term remaining after the internship, and possess object-oriented programming experience.

Designs and delivers secure, scalable AI solutions on Azure, guiding customers from experimentation through production. Leads architecture engagements, proofs of concept, pilots, technical workshops, and adoption initiatives involving Azure AI services, agents, LLMs, RAG, GitHub, integration, and data platforms. Identifies new AI use cases, develops reusable technical assets, provides customer feedback to engineering teams, supports partners, and mentors others while generating additional customer adoption and pipeline.

Leads strategic customer relationships and executive business-value discussions for Microsoft customers. Develops and executes Customer Success Plans, aligns Azure, Microsoft 365, and Dynamics solutions to business objectives, removes adoption blockers, and orchestrates cross-functional delivery. Drives digital transformation, customer health, product consumption, and ongoing business outcomes through strategic planning, stakeholder influence, and customer-facing program reviews.

Drive strategic growth for a major data, analytics, and consulting customer by shaping AI, Copilot, cloud, data, and security transformation roadmaps. Lead executive relationships, complex multi-year agreements, customer adoption, revenue growth, cloud migrations, data modernization, and joint go-to-market solutions across Microsoft and partner ecosystems.

Own and grow Microsoft AI Business Process accounts across local and devolved government. Build executive relationships, identify and close complex Dynamics 365, Power Platform, Copilot Studio, and CCaaS opportunities, and navigate public-sector procurement, tenders, business cases, and approvals. Lead internal and partner teams, drive adoption and expansion, communicate measurable customer outcomes, and provide market and competitive insights.

Researches and applies advanced machine learning, NLP, and information retrieval techniques to improve Microsoft 365 Copilot Chat and Search quality. Responsibilities include developing vector retrieval and embedding solutions, analyzing user journeys and model behavior, evaluating search relevance, adapting large language models, and partnering with engineering and product teams. The role also involves building scalable evaluation tools, mining data for opportunities, and contributing to internal or published research.

Design, build, test, deploy, and operate secure, scalable production software and services. Partner with customers and stakeholders to translate business needs into technical solutions, lead technical workstreams, apply engineering best practices, and deliver reusable systems. Collaborate with data science, product, design, and security teams while using AI-enabled tools and data-driven experimentation to solve complex customer challenges.

Lead threat hunting, digital forensics, incident response, and investigations into sophisticated cyber threats, including APT and nation-state activity. Analyze security telemetry, logs, forensic data, and attacker techniques; develop threat intelligence, hunting methodologies, tools, automations, and customer recommendations. Guide technical workstreams, improve security products and practices, communicate findings globally, and mentor other security professionals.

Identify and recruit high-growth software and AI partners in the UK, build executive relationships, and align partner goals with Microsoft opportunities. Develop co-build, co-market, and co-sell strategies; evaluate portfolio trends and gaps; and lead pipeline, deal, and consumption reviews while coordinating sales, technical, marketing, and product teams to accelerate partner growth.

Lead strategic technology partnerships with financial services customers, advising executives on AI, cloud, data, and security transformation. Define business outcomes, build technology roadmaps, coordinate Microsoft specialists and partners, establish AI governance and operating models, and drive adoption and measurable business value.

Leads the strategy, development, adoption, and ongoing improvement of workforce intelligence products. Combines product leadership, workforce analytics, forecasting, scenario planning, data governance, privacy, and executive influence to help leaders make informed talent, capability, capacity, and investment decisions. Partners across People, Finance, Engineering, Research, and business teams to deliver trusted products, measure value, and guide workforce investments.

Own senior commercial relationships and drive consultative sales of Microsoft AI and cloud solutions, including Copilot and Agent 365. Build pipeline, develop account and territory strategies, qualify and close complex board-level opportunities, and orchestrate multi-stakeholder enterprise deals through adoption. Translate workforce, transformation, governance, security, and organizational challenges into measurable customer value and sustainable revenue.

Own strategic sales and account growth across UK Central Government. Develop account plans, manage pipelines and forecasts, close complex commercial agreements, and drive Azure, AI, Copilot, security, data and modern work adoption. Lead virtual teams, build executive relationships with civil servants and technology leaders, develop partner-led opportunities, and align Microsoft solutions with government priorities and customer outcomes.

Lead end-to-end technical strategy for major digital-native customers adopting Azure and AI solutions. Build CTO-level relationships, design secure and scalable architectures, deliver demos and proof-of-value engagements, coordinate architects and engineering teams, and remove technical barriers to production deployment, consumption growth, and expansion across AI, applications, data, infrastructure, developer productivity, and security.

Supports experienced Customer Success Account Managers in executing customer success plans across customer health, cloud adoption, AI transformation, and Unified Success. Coordinates milestones, delivery activities, virtual teams, account insights, customer meeting preparation, and operational tracking. Progressively assumes customer-facing responsibilities, including standard scoping calls, presentations, value capture, and Unified activities while helping monitor customer outcomes, adoption, risks, and contract health.

Leads sales excellence for Microsoft’s EMEA Enterprise Partner Sales organization. Responsibilities include business intelligence, dashboards, forecasting, pipeline governance, KPI management, territory and capacity planning, performance reviews, strategic analysis, process automation, and capability building. The role advises senior sales and partner leaders, translates complex data into recommendations, drives operating rhythms, and influences cross-functional stakeholders across a matrixed organization.

Design, build, secure, and operate production-ready cloud and AI systems for strategic customers. Translate business needs into scalable architectures, deliver through modern engineering practices, and ensure reliability, performance, and maintainability. Collaborate with customer engineering teams and cross-functional partners, lead complex delivery workstreams, create reusable accelerators, and mentor engineers while driving customer adoption and measurable outcomes.

Lead HR strategy for Microsoft AI, advising executives on organizational growth, workforce planning, talent, transformation, and organizational effectiveness. Manage and develop an HR team, guide leaders through change, build talent pipelines, identify workforce risks, and implement people initiatives that improve culture, engagement, inclusion, and employee experience.